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Updated: Aug 31, 2025

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
Published on: November 1, 2019
Wenli Tian1, Ming Li1, Xiangyu Ju1
1College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China.
This study enhances EEG-based human identification by combining multiple functional connectivity (FC) features using graph convolutional neural networks (GCN). This approach achieves high accuracy and robustness, improving security system efficiency.
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